• DocumentCode
    749927
  • Title

    Computational feasibility of structured matching

  • Author

    Goel, Ashok ; Bylander, Tom

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
  • Volume
    11
  • Issue
    12
  • fYear
    1989
  • fDate
    12/1/1989 12:00:00 AM
  • Firstpage
    1312
  • Lastpage
    1316
  • Abstract
    Structured matching is a task-specific technique for selecting one choice out of a small number of alternatives based on a given set of parameters. In structured matching, the knowledge and control for making a decision are integrated within a hierarchical structure. Each node in the hierarchy corresponds to a different aspect of the decision and contains knowledge for directly mapping the results of its children nodes (or selected parameters) into a choice on the subdecision. The root node selects the final choice for the decision. The authors formally characterize the task and strategy of structured matching and analyze its computational complexity. They believe that structured matching captures the essence of what makes a range of decision-making problems computationally feasible to solve
  • Keywords
    computational complexity; knowledge engineering; pattern recognition; computational complexity; decision-making problems; hierarchical structure; knowledge engineering; pattern recognition; structured matching; Artificial intelligence; Blood; Computational complexity; Decision making; Heart; Information science; Knowledge based systems; Laboratories; Lungs; Military computing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.41369
  • Filename
    41369